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A Stacked Model Approach for Machine Learning-Based Traffic Prediction 2nd

A Stacked Model Approach for Machine Learning-Based Traffic ...

引用

2nd international conference on advances in Data-driven computing and Intelligent Systems, ADCIS 2023

作者： Divakarla, Usha Chandrasekaran, K. N. M. A. M. Institute of Technology Karkala Nitte India National Institute of Technology Karnataka Surathkal India

ISBN: (纸本)9789819995233

The application of technology for sensing, analysis, control, and communication within ground transportation is referred to as an intelligent transportation system. This system aims to enhance safety, mobility, and efficiency. Intelligent Transportation Systems (ITSs) are in the process of development and implementation, leading to improved accuracy in predicting traffic flow. The efficacy of traveler information systems, public transportation, and advanced traffic control is said to depend on these systems. In order to effectively manage and lessen traffic congestion, practical execution is essential, as evidenced by the expanding use of data in transportation management. By employing machine learning (ML), it is possible to construct predictive models that incorporate diverse data from numerous sources. Predicting traffic movement, reducing congestion, and identifying optimal routes that consume the least time or energy all require traffic prediction, which involves forecasting traffic volume and density. Traffic estimation and prediction systems have the potential to reduce travel times and enhance traffic conditions by enabling more efficient utilization of available capacity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Machine learning

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Unmanned Aerial Vehicle-aided Auditory Intrusion Detection Systems: An Experimental Exploration

Unmanned Aerial Vehicle-aided Auditory Intrusion Detection S...

引用

2023 international conference on advances in Computation, communication and information technology, ICAICCIT 2023

作者： Bhawal, Abhirup Patil, Nagaraj Agrawal, Trapty Presidency University Department of Electronics and Communication Engineering Karnataka India Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka India Maharishi University of Information Technology Maharishi School of Engineering & Technology Uttar Pradesh India

ISBN: (纸本)9798350344387

Regulations have traditionally hindered the integration of unmanned aircraft systems (UASs), sometimes referred to as aerial vehicles, into business endeavors. Nonetheless, the Federal Aviation Administration's (FAA) recent actions to loosen these restrictions have sped up the process of adding commercial drone use to The Group's Hyper Cycle, indicating a major technical shift. This change has sparked significant advancements in a variety of areas, especially in major manufacturing and telecommuting, where the use of drones for inspection and evaluation purposes is being investigated. Previous research has recommended implementing technological advancements like continuous auditing (CA) gradually. By addressing the particular needs connected to the integration of unmanned aircraft into audit settings, this study expands on this framework. It explores three key areas:a thorough analysis of drone deployment in examination situations differentiating between ongoing and sporadic use;an extended scientific adoption system that takes into account the special features and capacities of unmanned aircraft;anda thorough investigation of the various uses of unmanned aerial vehicles in both inside and outside audit procedures, clarifying their potential for use in a range of audit circumstances. © 2023 IEEE.

关键词： Audit automation Audit evidence Audit process and Design Science Research (DSR) Audits Commercial drone usage Continuous auditing (CA) Drones Federal Aviation Administration (FAA) Inventory counting

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Trusted Computation for Cloud VM Lifetime Security

Trusted Computation for Cloud VM Lifetime Security

引用

2023 international conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Aruna, M. Nachappa, M.N. Singh, Akhilendra Pratap Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350357769

Virtual machines (VMs) are essential components of cloud computing platforms, but they are subject to many security risks during the course of their existence. Threats in various VM states are often addressed by existing solutions. In order to handle VM security in its entirety, this article proposes a cutting-edge architecture for trusted computing-based VM lifecycle security protection. We build an established computing-based security structure to extend trust across the platform module to a VM, assuring its security and dependability throughout its lifespan. We describe the VM lifecycle using its many active phases. The framework's capacity to guarantee whole VM safety is supported by theoretical analysis, and trials support its viability and higher level of security than existing methods. © 2023 IEEE.

关键词： attestation cloud computing empirical data hardware security security framework security protection security risks Trusted computing trusted status monitoring virtual machines (VMs) VM lifecycle security

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Fusion of Two View Mammographic Texture information Through Binary BAT Algorithm for Enhanced Breast Cancer Detection 2

Fusion of Two View Mammographic Texture Information Through ...

引用

2nd international conference on Advancements in Electrical, Electronics, communication, computing and Automation, ICAECA 2023

作者： Sasikala, S. Kumar, S. Arun Dept. of Electronics and Communication Engg Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

Female breast cancer is a mortal disease. Every year its incidences and mortality rate increase globally. According to statistics studies, number of breast cancers estimated during 2010, 2015 and 2020 are 0.09, 1.06 and 0.123 million, respectively. Symptoms are not obvious in the beginning stage. Therefore, the early detection is difficult. Mammography is a gold standard for more than forty years and Cranio-Caudal and Medio-Lateral Oblique views are normally used in diagnosing breast diseases. These two views are results of scanning the breast in different angle. Thus, they provide some unique information in addition to the information common to both views. Hence combining the information of these two views for diagnosis may produce better results. To improve the detection performance, fusion of texture information from the images of these two views through Binary BAT algorithm is suggested in this paper. An improved performance metric was obtained using the proposed method. © 2023 IEEE.

关键词： Computer aided diagnosis

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Opinion Detection in Hinglish News Reporting

Opinion Detection in Hinglish News Reporting

引用

2023 international conference on advances in Intelligent computing and Applications, AICAPS 2023

作者： Ananya Kaushal, Rishabh Indira Gandhi Delhi Technical University for Women Department of Information Technology Delhi India

ISBN: (纸本)9798350333817

News bulletins play an important role in people's daily lives. As humans evolved, so did our ability to form opinions. In the domain of journalism and news reporting, it is desirable that those reporting news do not add their personal opinions. However, we often observe biases in news reporting, and therefore the task of assessing the opinion of news reporters has become a significant issue. In this work, we study the performance of classical machine learning and vectorization techniques on opinion detection in Hinglish code-mixed news debates related to political and religious issues aired on Indian news channels. We were able to achieve the best accuracy of 87% using Logistic Regression algorithm with Bag of Words (BoW) vectorization technique. © 2023 IEEE.

关键词： Biases Code-mixing Hinglish Opinion Detection

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Intelligent Reconfiguration Structure to Enhance 6G Network Transmission 1

Intelligent Reconfiguration Structure to Enhance 6G Network ...

引用

1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Chaudhary, Pavan Kenchappa, Ranganathaswamy Madihalli Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Ramnagar District Karnataka India

ISBN: (纸本)9798331518578

This study presents a brand-new, extremely efficient mixed reconfigurable intelligent surface (RIS) technique intended to improve coverage area and substantially lower power loss in 6G networks. The Hybrid reconfigurable intelligent surface decision-making algorithm (HRIS-DMA), an effective iterative technique that incorporates accurate user position data to the RIS design, is the main novelty of this technique. This technique minimizes signal attenuation and maximizes signal propagation by constantly modifying RIS components for reflecting as well as redirecting signals depending on present movements of the user. Accurate beamforming along with smart reflection are continually improved via iterative upgrades, are the mechanisms generating the performance increases. This method overcomes the difficulties of the dense & varied installation of the 6G net by guaranteeing strong signal strength & increased coverage. The implementation of the suggested plan in 6G networks shows notable gains in network dependability and signal quality, opening the door for better user experiences and effective communication systems. Three downlink scenarios like zero - little, little - moderate & moderate - numerous obstacles were used to assess the performance of this unique technique using MATLAB R2023a. Compared to traditional base station (BS) handover and simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), the three scenarios exhibit greater coverages. According to the assessment metrics, the evaluation outcomes for the novel HRIS-DMA show that the overall system efficiency is 96% better than that of STAR-RIS and 14% better than that of BS-BS handover. It also shows that there is 71% lesser loss in power, 0.18 μs lower system delay, and 26 dB as well as 13 dB channel gain when compared to traditional STAR-RIS as well as BS handover, respectively. © 2025 IEEE.

关键词： Reconfigurable hardware

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Enhancing the Security of Healthcare Data in Cloud computing Environments 2

Enhancing the Security of Healthcare Data in Cloud Computing...

引用

2nd international conference on Computational Intelligence, communication technology and Networking, CICTN 2025

作者： Sajwan, Himani Kumari, Anjali Chauhan, Garima Kumar, Raj School of Computer Applications Manav Rachna International Institute of Research & Studies Faridabad India

ISBN: (纸本)9798331530389

Cloud computing has completely evolved the way health care data is managed, but it also introduces critical security vulnerabilities that can compromise the privacy of patient information and threaten regulatory compliance. Herein, we present one of the most severe challenges: securing EHRs in a cloud environment with access to data while maintaining HIPAA compliance. We introduce a novel hybrid framework combining homomorphic encryption with blockchain-based access control and dynamic audit logging. The framework was used with a three-phase experimental approach and was deployed over five major healthcare institutions while being analyzed for 2.3 million patient records over 18 months. Results showed a high success rate of 99.97% against denial-of-service attacks while showing reductions in latency time about data retrieval up to 3 4 % compared to traditional methods of encryption. Security-incident-based variation was reduced up to 78%, and 99.99% data integrity was achieved during concurrent access scenarios. Cost analysis shows that overheads in security management amount to a reduction of 4 5 % against conventional systems. Our results show that the proposed framework is far better for healthcare data security, along with improved operational efficiency and regulatory compliance. This work contributes to the literature by providing a scalable and cost-efficient solution addressing the most complex security requirements of modern health care systems in cloud environments. The fact that the framework is implemented successfully in real life seems to reflect its effectiveness for mass-scale implementation in health organizations. © 2025 IEEE.

关键词： Cloud security

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A Method of PV Power Generation Forecasting using Constrained Transformer Network 5

A Method of PV Power Generation Forecasting using Constraine...

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5th international conference on Artificial Intelligence in information and communication (ICAIIC)

作者： Tran, Duc Hoang Nguyen, Van Linh Utama, Ida Bagus Krishna Yoga Nguyen, Huy Chung, ByungDeok Jang, Yeong Min Kookmin Univ Dept Elect Engn Seoul 02707 South Korea ENS Co Ltd Ansan 15655 South Korea

ISBN: (纸本)9781665456456

This paper introduces a method using a physics-constrained Transformer model attached to an edge computer for photovoltaic power generation that considers specific domain knowledge and increases the performance of the system. It attempts to address the drawback of current machine learning algorithms, which are applied based simply on enormous amounts of data, readily creating projections that are irrational. The experimental results indicate that the proposed physics-constrained Transformer model attached to an edge computer for photovoltaic power generation Transformer model possesses stronger prediction capability than other methods and is completely suitable with the sparse data in practice.

关键词： time-series forecasting transformer neural network edge computing

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Security Challenges and Future Privacy Perspectives in Cloud computing for Smart City Environments

Security Challenges and Future Privacy Perspectives in Cloud...

引用

2023 international conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Tayal, Ankit Bhatia, Gaurav Singh, Jay Bansal, Mohit Anitha, G. Gl Bajaj Institute of Technology & Management Electrical Engineering Department Gr. Noida India Gl Bajaj Institute of Technology & Management Computer Application Department Gr. Noida India Institute of Aeronautical 5Engineering Department of Computer Science and Information Technology Hyderabad India

ISBN: (纸本)9798350357769

The context of smart cities and cloud computing is essential to understanding the broader landscape in which security challenges and privacy perspectives play pivotal roles in enhancing the quality of life for the residents in smart cities. Smart cities use information and communication technologies (ICT) to optimize resource efficiency. They leverage data, sensors, and connectivity to improve various aspects of urban living, including transportation, energy usage, public services, and sustainability. Cloud computing is an integral part of the infrastructure of smart cities that enables the collection, storage, analysis, and sharing of data and services. This research paper indicates many factors and challenges in the development of cloud-enabled smart city areas and provides potential recommendations. A guideline for future studies on this research topic has also been provided to serve the comparative analysis of the various findings and results. © 2023 IEEE.

关键词： Cloud computing Cyber Security Data computing Internet of Things (IoT) Smart City

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Enhanced Web Security Using Cross-Feature Analysis of Visual Design, Live Logs and Code Structures 9

Enhanced Web Security Using Cross-Feature Analysis of Visual...

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9th international conference on communication and Electronics Systems, ICCES 2024

作者： Kumar, Rahul Sharma, Tanvi Saranya, G. School of Computing College of Engineering and Technology Srm Institute of Science and Technology Department of Networking and Communication Tamil Nadu Kattankulathur603203 India

ISBN: (纸本)9798350377972

Threats using website visual designs and content structures, along with standard coding vulnerabilities, represent an increasing danger to web security. To enhance web security, this paper introduces a new method called cross-feature analysis that integrates the investigation of visual design, live logs, code structures and other vulnerabilities. Based on this threefold correlation, this method identifies discrepancies that might have otherwise gone undetected by traditional approaches reliant on discrete elements. This research rightly provides a thorough methodology for evaluating XSS detection, SQL injection error and time-based testing, CSRF vulnerability checking, clickjacking protection, information disclosure detection, and risk assessment are all included in this. It includes several test vectors for each vulnerability, port scanning with service discovery, analysis of SSL/TLS and security headers, assessment of DNS setup, and integration of WHOIS data. Live monitoring is supported by real-time logging, and actionable insights to strengthen security posture across infrastructure and online applications are provided via a risk-based grading system with recommendations. © 2024 IEEE.

关键词： Risk assessment

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